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researcher

G. Papp

107 papers hereh-index 221.9k citations164 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author14
  • middle author62
  • last author21

Across the 98 of 107 papers where every author was matched, so the position is known.

fields
  • hep-ph45
  • nucl-th25
  • cond-mat9
  • hep-lat6
  • physics.comp-ph4
  • q-fin.PM4
same name
  • G. Papp — 24 papers, h 31
  • G. Papp — 8 papers, h 6
  • G. Papp — 7 papers, h 3
  • G. Papp — 5 papers, h 1
  • G. Papp — 2 papers, h 1
  • G. Papp — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19952026
most citedHeavy-Quark Kinetics in the QGP at LHC

321 citations · 2.6k across the 105 of their papers we have counts for

collaborators
Showing q-fin.PMShow all

4 papers · 1 filter

q-fin.PM2021

Optimizing Expected Shortfall under an ℓ1​ constraint -- an analytic approach

Gábor Papp, Imre Kondor, Fabio Caccioli

Expected Shortfall (ES), the average loss above a high quantile, is the current financial regulatory market risk measure. Its estimation and optimization are highly unstable agains…

q-fin.PM2017

Analytic approach to variance optimization under an ℓ1​ constraint

Imre Kondor, Gábor Papp, Fabio Caccioli

The optimization of the variance supplemented by a budget constraint and an asymmetric ℓ1​ regularizer is carried out analytically by the replica method borrowed from the theo…

q-fin.PM2017★ 18 cited

Analytic solution to variance optimization with no short-selling

Imre Kondor, Gábor Papp, Fabio Caccioli

A large portfolio of independent returns is optimized under the variance risk measure with a ban on short positions. The no-short selling constraint acts as an asymmetric ℓ1​…

q-fin.PM2016★ 1 cited

Bias-variance trade-off in portfolio optimization under Expected Shortfall with ℓ2​ regularization

Gábor Papp, Fabio Caccioli, Imre Kondor

The optimization of a large random portfolio under the Expected Shortfall risk measure with an ℓ2​ regularizer is carried out by analytical calculation. The regularizer reins…

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